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LinkedIn Learning

Descriptive Healthcare Analytics in R

via LinkedIn Learning

Overview

Learn how to conduct a full analysis of healthcare datasets using R by analyzing the Behavioral Risk Factor Surveillance System (BRFSS), a public health surveillance survey.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Introduction to the course
  • How to use the exercise files
1. What Is the BRFSS?
  • US risk factors
  • Introduction to the BRFSS
  • More on the BRFSS
  • What is a descriptive BRFSS analysis?
  • Cross-sectional analysis in the BRFSS
  • Ethical use of BRFSS data
  • BRFSS resources
  • Choosing R for a BRFSS analysis: Some considerations
  • Choosing R for a BRFSS analysis: More considerations
  • Installing R
  • Navigating in R
  • Installing the foreign package
  • Installing necessary packages
2. Designing Your Metadata
  • Uses of a data dictionary
  • How to set up a data dictionary
  • Adding to the data dictionary
  • Understanding confounders
  • Making a web of causation
  • Designing confounders: Age and smoking
  • Designing confounders: Other demographics
  • Designing confounders: Other variables used in analysis
3. Reading in Data and Applying Exclusions
  • Reading in BRFSS XPT data
  • Naming conventions
  • Keeping native variables
  • Applying the first exclusion
  • Applying the rest of the exclusions
  • Operations in code
  • Making a data reduction diagram
  • Generating exposure
  • Generating outcome variables
4. Preparing for Descriptive Analysis
  • Generating the age variables
  • Generating the smoking variables
  • Finalizing the analytic data set
  • What is Table 1?
  • Reviewing categorical variable distribution
  • Reviewing continuous variable distribution
5. Conducting Descriptive Analysis
  • Preparing categorical Table 1 shell
  • Preparing continuous Table 1 shell
  • Adding overall frequencies to categorical Table 1
  • Making a frequency macro
  • Adding overall frequencies to continuous Table 1
  • Completing categorical Table 1
  • Completing continuous Table 1
6. Descriptive Analysis: Weights and Tests
  • Three truths about using weights
  • Conducting a descriptive weighted analysis
  • Why conduct bivariate tests?
  • Adding categorical bivariate tests to Table 1
  • Introduction to ANOVA and linear regression code
  • Adding continuous bivariate tests to Table 1
Conclusion
  • Review of the metadata
  • Uses of metadata
  • Review of the process
  • Next steps in the BRFSS analysis

Taught by

Monika Wahi

Reviews

4.7 rating at LinkedIn Learning based on 157 ratings

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